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Authors: Christopher Link 1 ; Kevin Malena 1 ; Sandra Gausemeier 1 and Ansgar Trächtler 1 ; 2

Affiliations: 1 Heinz Nixdorf Institute, University of Paderborn, Fürstenallee 11, Paderborn, Germany ; 2 Fraunhofer Institute for Mechatronic Systems Design IEM, Zunkunftsmeile 1, Paderborn, Germany

Keyword(s): Traffic Simulation, Traffic Control, Car2X, Mixed Autonomy, Autonomous Vehicles, SUMO, Sensor Simulation, Traffic Demand Generation, Routing, Traffic Lights, Graph Analysis, Traffic Observer.

Abstract: The development of autonomous vehicles and their introduction in urban traffic offer many opportunities for traffic improvements. In this paper, an approach for a future traffic control system for mixed autonomy traffic environments is presented. Furthermore, a simulation framework based on the city of Paderborn is introduced to enable the development and examination of such a system. This encompasses multiple elements including the road network itself, traffic lights, sensors as well as methods to analyse the topology of the network. Furthermore, a procedure for traffic demand generation and routing is presented based on statistical data of the city and traffic data obtained by measurements. The resulting model can receive and apply the generated control inputs and in turn generates simulated sensor data for the control system based on the current system state.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Link, C.; Malena, K.; Gausemeier, S. and Trächtler, A. (2023). Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-652-1; ISSN 2184-495X, SciTePress, pages 367-377. DOI: 10.5220/0011987600003479

@conference{vehits23,
author={Christopher Link. and Kevin Malena. and Sandra Gausemeier. and Ansgar Trächtler.},
title={Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2023},
pages={367-377},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011987600003479},
isbn={978-989-758-652-1},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios
SN - 978-989-758-652-1
IS - 2184-495X
AU - Link, C.
AU - Malena, K.
AU - Gausemeier, S.
AU - Trächtler, A.
PY - 2023
SP - 367
EP - 377
DO - 10.5220/0011987600003479
PB - SciTePress